Many spectral matching algorithms, ranging from the traditional clustering techniques to the
recent automated matching models, have evolved. This paper provides a review and up-to …

Time series of remote sensing imagery or derived vegetation indices and biophysical
products have been shown particularly useful to characterize land ecosystem dynamics …

Knowledge of the distribution of vegetation on the landscape can be used to investigate
ecosystem functioning. The sizes and movements of animal populations can be linked to …

A significant step forward in the world of earth observation was made with the development
of imaging spectrometry. Imaging spectrometers measure reflected solar radiance from the …

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …

This study established spectral matching techniques (SMTs) to determine land-use and land-
cover (LULC) and irrigated area classes from historical time-series (HTS-LULC) AVHRR 0.1 …

A new approach toward mineral mapping front imaging spectrometer data is presented,
using a spectral matching algorithm-based on the cross correlograrn. A cross correlograin is …

This paper proposes a novel hyperspectral matching technique by integrating the Jeffries-
Matusita measure (JM) and the Spectral Angle Mapper (SAM) algorithm. The deterministic …

Timely and reliable rapeseed mapping is crucial for vegetable oil supply and bioenergy
industry. Synthetic Aperture Radar (SAR) remote sensing is able to track rapeseed …

This study investigated the potential value of integrating hyperspectral visible, near-infrared,
and short-wave infrared imagery with multispectral thermal data for geological mapping …